vlda_plot: VLDA Plot

In vlda: Visualization of Multidimensional Longitudinal Data

Description

Assists in producing a plot that more effectively expresses changes over time for two different types (long format and wide format) using a consistent calling scheme for longitudinal data. It provides the ability to projection supplementary information (supplementary objects and variables) that can often occur in longitudinal data to graphs, as well as provides a new interactive implementation to perform the additional interpretation, so it is also useful for longitudinal data visuals analysis.

Usage

vlda_plot(fit, rename = NULL, interactive = TRUE,
          title = NULL, title.col = NULL, title.size = 15, title.hjust = 0,
          subtitle = NULL, sub.col = NULL, sub.size = 15, sub.hjust = 0,
          labels = NULL, lab.col = NULL, lab.size = NULL, lab.face = NULL,
          legend.position = "bottom", legend.justification = NULL,
          linetype = 2, line.col = "red", font.size = 1.0, var.size = 2.5,
          obs.col = "darkgray", obs.size = 2.5, add.obs.col = "#666666",
          arrow.col = "orange", arrow.size = 0.5, arrow.type = "closed")

Arguments

fit	An object returned by vlda() or supplement()
rename	Rename a variable to another name
interactive	Use the interactive graphical elements (default TRUE)
title	Plot title. If NULL, the title is not shown (default NULL)
title.col	Title color (default color is black)
title.size	Title font size (default size = 15)
title.hjust	Alignment of title (Number from 0 (left) to 1 (right): left-aligned by default)
subtitle	Subtitle for the plot which will be displayed below the title
sub.col	Sub-title color (default color is black)
sub.size	Sub-title font size (default size = 15)
sub.hjust	Alignment of sub-title (Number from 0 (left) to 1 (right): left-aligned by default)
labels	Legend labels
lab.col	Legend labels color
lab.size	Legend labels size
lab.face	Legend labels font c("plain", "bold", "italic", "bold.italic") default = "plain"
legend.position	The position of legends ("none", "left", "right", "bottom", "top", or two-element numeric vector) default is "bottom"
legend.justification	Anchor point for positioning legend inside plot ("center" or two-element numeric vector) or the justification according to the plot area when positioned outside the plot
linetype	Line types can be specified with: An integer or name: 0 = blank, 1 = solid, 2 = dashed, 3 = dotted, 4 = dotdash, 5 = longdash, 6 = twodash, as shown below:
line.col	Axis line color
font.size	Font size (left-aligned by default size = 1.0)
var.size	Variable coordinate point size of plot
obs.col	Observation coordinate point color of plot
obs.size	Observation coordinate point size on plot
add.obs.col	Color of added observation coordinate points
arrow.col	Arrow color (default color = "orange")
arrow.size	Arrow size (default size = 0.5)
arrow.type	One of "open" or "closed" indicating whether the arrow head should be a closed triangle

Details

Coordinates in opposite directions on each axis can be considered to be different groups. And if the distance between the coordinates is close, it indicates that the group has a similar tendency. Even if the explanatory variable is not significant, a small tendency can confirm because the coordinate is placed in consideration of the relative influence.

Value

...

Same as the result of vlda

graphics

As a result of vlda, it creates a two-dimensional graph. provides interactive graphics, so when the mouse cursor points to the observation coordinates, it provides a tooltip that displays observations of having the same coordinates and displays the row and column coordinate. In the case of long-form, the tooltip displays a time point, besides, coordinate having the same time point are filled with the yellow color on the graph, to make it easier to distinguish the same time points of observations with colors. In the case of a wide form, the combinations that the explanatory variables can have are grouped and the coordinates points of the corresponding observations are shown in yellow on the graph. changes in time points are indicated by orange arrows on the graph.

See Also

vlda

Examples

### Long form ###
data(PTSD)
PTSD[,2:4] <- apply(PTSD[,2:4], 2, function(x) ifelse(x >= 3, 1, 0))
PTSD[,5] <-  ifelse(PTSD[,5] >= 6 , 1, 0)
PTSD <- data.frame(lapply(PTSD, function(x) as.factor(x)))
PTSD
str(PTSD)
head(PTSD, 10)
fit <- vlda(x = PTSD, object = "subject", time = "time", type = "long")
vlda_plot(fit)

 ## row and column ##
data(PTSD_row)
data(PTSD_column)
PTSD_row <- as.matrix(PTSD_row)
PTSD_column <- as.matrix(PTSD_column)

fit2 <- vlda_add(fit, add.row = PTSD_row, add.col = PTSD_column)
vlda_plot(fit2)


### Wide form ###
data(Depression)
wide.fit <-
vlda(
  x = Depression,
  object = "Case",
  time = c("1week", "2weeks", "4weeks"),
  type = "wide"
)
vlda_plot(wide.fit)

vlda documentation built on July 1, 2020, 10:15 p.m.